1. The document summarizes a presentation about robotics given by Andreas Heil on December 11, 2006.
2. It discusses definitions of robots, current and potential applications of robotics in areas like healthcare, entertainment and education.
3. It also covers challenges for robotics like costs, cultural acceptance, learning vs imitation behaviors, and ensuring robots can be safely integrated into everyday life.
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
The field of Artificial Intelligence (AI) has progressed rapidly in the past few years. AI systems are having a growing impact on society and concerns have been raised whether AI system can be trusted. A way to address these concerns is to employ ethically aligned design principles to the development of AI software. Yet these principles are still far away from practical application. This talk provides state-of-the-art empirical insight into what should researchers and professionals do today when the client wants ethics to be added to their system.
This collection of slides are meant as a starting point and tutorial for the ones who want to understand AI Ethics and in particular the challenges around bias and fairness. Furthermore, I have also included studies on how we as humans perceive AI influence in our private as well as working lives.
The 7 Biggest Ethical Challenges of Artificial IntelligenceBernard Marr
Artificial intelligence technology has been a worldwide game-changer for many industries, but it is not without its challenges. In this article, we’ll dig into some of the biggest ethical concerns around AI.
Ethical Considerations in the Design of Artificial IntelligenceJohn C. Havens
A presentation for IEEE's Ethics Symposium happening in Vancouver, May 2016. Featuring presentations from John C. Havens, Mike Van der Loos, John P. Sullins, and Alan Mackworth.
The Future of Humanity
Through our interaction with machines, we develop emotional, human expectations of them. Alexa, for example, comes alive when we speak with it. AI is and will be a representation of its cultural context, the values and ethics we apply to one another as humans.
This machinery is eerily familiar as it mirrors us, and eventually becomes even smarter than us mere mortals. We’re programming its advantages based on how we see ourselves and the world around us, and we’re doing this at an incredible pace. This shift is pervading culture from our perceptions of beauty and aesthetics to how we interact with one another – and our AI.
Infused with technology, we’re asking: what does it means to be human?
Our report examines:
• The evolution of our empathy from humans to animals and robots
• How we treat AI in its infancy like we do a child, allowing it space to grow
• The spectrum of our emotional comfort in a world embracing AI
• The cultural contexts fueling AI biases, such as gender stereotypes, that drive the direction of AI
• How we place an innate trust in machines, more than we do one another
Methodology
For this report, sparks & honey conducted US-focused research on the future of AI. Together with Heartbeat AI Technologies, we examined the emotional sentiment (feeling and emotions) around artificial intelligence in a Heartbeat AI Pulse Survey of 150 people in the US. Tapping into our Influencer Advisory Board and proprietary cultural intelligence system, we combed through thousands of signals to build a vision of the future of AI. We also interviewed leading experts in the field of artificial intelligence.
The field of Artificial Intelligence (AI) has progressed rapidly in the past few years. AI systems are having a growing impact on society and concerns have been raised whether AI system can be trusted. A way to address these concerns is to employ ethically aligned design principles to the development of AI software. Yet these principles are still far away from practical application. This talk provides state-of-the-art empirical insight into what should researchers and professionals do today when the client wants ethics to be added to their system.
This collection of slides are meant as a starting point and tutorial for the ones who want to understand AI Ethics and in particular the challenges around bias and fairness. Furthermore, I have also included studies on how we as humans perceive AI influence in our private as well as working lives.
The 7 Biggest Ethical Challenges of Artificial IntelligenceBernard Marr
Artificial intelligence technology has been a worldwide game-changer for many industries, but it is not without its challenges. In this article, we’ll dig into some of the biggest ethical concerns around AI.
Ethical Considerations in the Design of Artificial IntelligenceJohn C. Havens
A presentation for IEEE's Ethics Symposium happening in Vancouver, May 2016. Featuring presentations from John C. Havens, Mike Van der Loos, John P. Sullins, and Alan Mackworth.
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
Technology for everyone - AI ethics and BiasMarion Mulder
Slides from my talk at #ToonTechTalks on 27 september 2018
We all see the great potential AI is bringing us. But is it really bringing it to everyone? How are we ensuring under-represented groups are included and vulnerable people are protected? What to do when our technology is unintended biased and discriminating against certain groups. And what if the data and AI is correct, but the by-effect of it is that some groups are put at risk? All questions we need to think about when we are advancing technology for the benefit of humanity.
Sharing what I've learned from my work in diversity, digital and from following great minds in this field such as Joanna Bryson, Virginia Dignum, Rumman Chowdhury, Juriaan van Diggelen, Valerie Frissen, Catelijne Muller, and many more.
The training content covers:
- Basics of Artificial Intelligence
- Penetration of AI in our daily lives
- Few examples and Use cases
- A brief on how future with AI looks like
Introduction to the ethics of machine learningDaniel Wilson
A brief introduction to the domain that is variously described as the ethics of machine learning, data science ethics, AI ethics and the ethics of big data. (Delivered as a guest lecture for COMPSCI 361 at the University of Auckland on May 29, 2019)
Recent advances in Machine Learning, have created powerful algorithms, pushing the boundaries of Artificial Intelligence (AI). As machine learning becomes increasingly prevalent, one biggest issue it needs to addressing is bias that seeps into AI. This presentation focuses on bias in AI algorithms, provides a range of examples where AI is racist or sexist. We explore causes like biased data, lack of attention to the inputs, and insufficient understanding of the algorithm. Finally, we propose steps which could help reduce these incidences of discrimination.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
The Ethics of Machine Learning/AI - Brent M. EastwoodWithTheBest
Artificial Intelligence and machine learning has the potential for greater good and danger itself. Eastwood questions the ethics behind machine learning and artificial intelligence.
Brent M. Eastwood, PhD
This presentation looks at how AI works, how it is being used presently in Education and then outline some concerns about how AI might be used in education in the future.
I argue that AI has a much greater part to play in Education – particularly in making education more widely available in the developing world and in reducing the cost of education.
The talk then moves on to discuss general ethical concerns about how AI is being used in society, looking at the issue of how we program autonomous vehicles as a case in point. I then outline five areas of concern about the use (and potential abuse) of AI in education arguing that we need to have a much more informed debate before things go too far. With this in mind, I close with some suggestions for courses and reading that might help colleagues to become better informed about the subject.
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
A Theory of Knowledge Lecture given by Mark Steed, Director of JESS Dubai on Monday 4th March 2019
The lecture explains how AI works and then looks at some of the ethical implications
Technology for everyone - AI ethics and BiasMarion Mulder
Slides from my talk at #ToonTechTalks on 27 september 2018
We all see the great potential AI is bringing us. But is it really bringing it to everyone? How are we ensuring under-represented groups are included and vulnerable people are protected? What to do when our technology is unintended biased and discriminating against certain groups. And what if the data and AI is correct, but the by-effect of it is that some groups are put at risk? All questions we need to think about when we are advancing technology for the benefit of humanity.
Sharing what I've learned from my work in diversity, digital and from following great minds in this field such as Joanna Bryson, Virginia Dignum, Rumman Chowdhury, Juriaan van Diggelen, Valerie Frissen, Catelijne Muller, and many more.
The training content covers:
- Basics of Artificial Intelligence
- Penetration of AI in our daily lives
- Few examples and Use cases
- A brief on how future with AI looks like
Introduction to the ethics of machine learningDaniel Wilson
A brief introduction to the domain that is variously described as the ethics of machine learning, data science ethics, AI ethics and the ethics of big data. (Delivered as a guest lecture for COMPSCI 361 at the University of Auckland on May 29, 2019)
Recent advances in Machine Learning, have created powerful algorithms, pushing the boundaries of Artificial Intelligence (AI). As machine learning becomes increasingly prevalent, one biggest issue it needs to addressing is bias that seeps into AI. This presentation focuses on bias in AI algorithms, provides a range of examples where AI is racist or sexist. We explore causes like biased data, lack of attention to the inputs, and insufficient understanding of the algorithm. Finally, we propose steps which could help reduce these incidences of discrimination.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
The Ethics of Machine Learning/AI - Brent M. EastwoodWithTheBest
Artificial Intelligence and machine learning has the potential for greater good and danger itself. Eastwood questions the ethics behind machine learning and artificial intelligence.
Brent M. Eastwood, PhD
After a great trip to Melbourne for Future Assembly, I thought it'd be great to present our thoughts on Design Ethics for Artificial Intelligence.
It's a thought-provoking and engaging presentation and will have you pondering our flawed and highly subjective value systems.
Massive amounts of data and increasingly intelligent systems challenge existing data protection principles - from informed consent to opaque decisions and the distionction between personal and non-personal, as well as sensitive and non-sensitive data. Rather than compromising on fundamental rights, this presentation introduces the concept of Data Exploitation and argues that the minimisation of excessive data generation and collection is essential.
Presentation delivered at Computers Privacy & Data Protection Conference - PROTECTING INDIVIDUALS IN A BIG DATA WORLD. THE APPROACH ADOPTED BY THE COUNCIL OF EUROPE
Learning to trust artificial intelligence systems accountability, compliance ...Diego Alberto Tamayo
It’s not surprising that the
public’s imagination has
been ignited by Artificial
Intelligence since the term
was first coined in 1955.
In the ensuing 60 years,
we have been alternately
captivated by its promise,
wary of its potential for
abuse and frustrated by
its slow development.
These are the slides for my keynote lecture "AI Techniques for Smart Grids" at the 2014 IEEE Innovative Smart Grid Technologies - Asia conference where I discussed the role and potential of self-organization in the smart grid.
Brief summary of how the law and legal practice may be affected by the ris of AI and autonomous cars, robots, etc - with a look at what harms or biases may result and how law and the market might try to solve those problems.
Programming robots using visualisation, concurrency and coordination, using the Microsoft Robotics Developer Studio and the Visual Robotic Development Kit prototype held for the British Computer Society (BCS) in Cambridge, UK in 2006.
It's a really a great privilege,proud & honor as well that I instated a PPT on Robotics power presentation which was amazed so many people and hope u people also 'll be obliged & benefited.....................................My good wishes with ye always . Thank you.
It is a guide in Robotics that could help you in achieving your goals in terms of building robot. This powerpoint entails the basics in some electronic components or an Introduction to some field of ECE or Electronics engineering. This is a helpful presentation to make your path more easier in terms of building robots.
Invited talk held at the IEEE conference Hummanoids'06 in Genoa, Italy about Microsoft's recently released preview of the Microsoft Robotics Studio. Including a scalable runtime architecture supporting 8-bit up to 32-bit technologies with multi-core processors, the system provides access to simple touch sensors up to complex laser range finders. A 3D visual simulation environment and open architecture allows easy integration and simulation of newly constructed hardware platforms. While a wide variety of commercial and academic robots are already integrated within the Robotics Studio, there is a lack of humanoid platforms, yet. In this talk we will discuss the design of the software platform and the requirements to be met to integrate humanoid robots in the future.
Robotics is science of designing or building an application of robots. Simply ,Robotics may be defined as “The Study of Robots”. The aim of robotics is to design an efficient robot.
Robot is a Reprogrammable, Multi-functional Manipulator designed to move materials, parts, tools or specialized devices through variable programmed motions for performing a variety of task
Generally, various risky tasks or certain difficult operations cannot be done completely by humans and thus there is need for change in present era. As robots play vital roles in different fields of industries, medical, colleges, home appliances, military and defence, thus robots can be good and effective option for such difficult purposes. The proposed work is to develop an all terrain robot prototype. The robots which are presently in the market works on simple terrains while this project claims to make a prototype which can work on plain surfaces as well as rough surfaces such as forests, hilly and rocky areas. This project presents a offensive and defensive robot which uses different technologies like Arduino, Android Application, Bluetooth module and Laser Module. It develops a low voltage power supply, low cost and wireless robot prototype which is controlled using microcontroller and android application. Dr. M. Sampath Kumar | Anchal Mohanty | Meghana Beesu | E. Sai Kiran ""All Terrain Offensive and Defensive Robot"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23370.pdf
Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/23370/all-terrain-offensive-and-defensive-robot/dr-m-sampath-kumar
Early peek of the upcoming features in Windows 8, the benefits as well as possible consequences for desktop development. This presentation is part one of three, focusing especially on new features of Windows 8.
Anwendungsentwicklung fuer Intelligente Umgebungen im Web EngineeringAndreas Heil
Presentation of the WebComposition supporting system for intelligent environments and distributed systems. Introduction to the core elements, the seven principles, the tools, methods and approaches of the WebComposition process model for Web-based systems.
Foederiertes Geraete- und Dienstmanagement mit Web-TechnologienAndreas Heil
Introduction to federated device and service management using Web technologies. The talk introduces into an research approach how to design and develop complex service infrastructures including real world devices towards an internet of things.
Introducing a simple way of programing robots, hardware in general and various approaches developed by Microsoft Research Cambridge. The talk was held at the MSRC Christmas Lecture 2005.
Public lecture at Microsoft Research about the convergence of robots and artificial intelligence. This talk presented the development and how to approach generic software architectures for robots.
About the Microsoft Robotics Developer Studio, the backgrounds and research behind it and how the technological development from the personal computer towards personal robots went on.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Ethics of AI
1. ERO Technology Group
Presented by
Ethics of AI
Andreas Heil
Date
11. December 2006
About Potential, Limitations and
Concerns in Robotics
2.
3. Intelligent Robotics
There are many misconceptions in the public mind about the
capabilities of artificial intelligence in general and intelligent
robots in particular. As intelligent behaviours become
embedded in everyday equipment, there is an increasing need
to understand the huge potential of these new technologies,
as well as their limitations. This workshop will review not only
the latest developments in intelligent robotics and promote
discussion of the challenges they present, but also question
the desirability of research into different application areas and
review public concerns regarding the quest to create
'conscious' robots.
4. Definition: Robot
A robot is an electro-mechanical device that can perform autonomous or pre-
programmed tasks. A robot may act under the direct control of a human (e.g. the
Canadarm on the space shuttle) or autonomously under the control of a
programmed computer.
Wikipedia
1. Mechanical device programmed to perform tasks
Any machine that can be programmed to carry out instructions and
perform particular duties, especially one that can take over tasks
normally done by people
2. Imaginary machine like human
A machine that resembles a human in appearance and can function like
a human, especially in science fiction
3. Person like a machine
Somebody who works or behaves mechanically, showing little or no
emotion and often responding to orders without question
4. Traffic light
South Africa - a set of automatic traffic lights
Encarta Dictionary
5. Definition: Robot
A robot is a device, hard- or
software with the capability
of sensing and (re)acting.
6. Robotics Market Potential
Service and consumer markets just emerging
• Remote assistance/presence
• Assistive
• Facilities maintenance
• Security
• Education
• Entertainment
Why Robotics Research at All?
•High market expectation
•Demographic push in health & elderly care
•Longer working times – people spend less
time at home
•Service in the public
Military
•300 units x 800k * Source Japan Robotics Association
7. 3
2
1
20
05
Real vacuum cleaner
Filtering unnecessary Information
Household devices (Microwave, Fridge)
20
Robot with integrated communication capabilities1
07
Robot loading dishwasher2
20
10
Tourguide3
Development Trend
Robot adapting to individual needs
Gaming robot
Learning about new environments by taking a tour of it, after that it can re-give that tour.
20
Robot helping handicapped people
15
Increasing Software Challenges
Ironing robot
Proactive robot
Robot understanding human activities
20
20
24h assistant
Companion for elderly people
* Source EURON Workshop 2005
8. Microsoft & Robotics
Experience Groups
Systems Microsoft Research
• PC Ecosystem (desktop, web, • Enabling Technologies
mobile, home) • Human Robot Interaction
• XP, XP Embedded, CE (real-time) • Personal Robotics
• Educational Robotics
Development Environment and Tools • Programming Environments
• Programming IDE Microsoft Robotics Groups
• Debugging and Optimization
• Microsoft Robotics Group
Existing Applicable Technologies Redmond
• Center for Innovative Robotics
• Speech Carnegie Mellon University
• Real-time Communications • External Research Office
• Infrastructure Cambridge
9. New Requirements
New Requirements
• Ultra Heterogeneity
• Distributed Environments
• Dynamic Configuration
• Context-Awareness
• Personalization
• Extensibility
• Reliability
• Security
• Privacy Protection
• Usability
• Autonomy
• …
Ubiquitous computing environments should be deployed incrementally
• Living space is not a demonstration room
• We like to replace existing objects
How can software infrastructures help to decrease the complexities?
10. Challenges to Address
Future Applications
• Support & care, education, entertainment
• Timesaving, repetitive work
• Have a servant, companion
Personal Robotics
• Human-robotics Interaction
• Mediator between Digital/Real world From nature to
• Natural and Affective Interaction (speech, software models
gestures, emotions)
• Adaptive to individual needs
What is needed so that robots could be
successfully integrated in our everyday life?
What are the key technical issues?
11. Come more Challenges
• Costs
When a human is in danger, robots can do this work on behalf, then
maybe, the costs are a minor issue
• Robot’s image is cultural depended
> We will never accept a Japanese robot because of its cultural differences
> Its important to build a robot corresponding to your culture
• Japan vs. Hollywood
> Japan, friendly TV-series
> Hollywood, dangerous, instable
Bring me a cup of tea…
• Acceptance
> Emotional component
> Robot as a luxury
• Learning vs. Imitation
> “Do I really want it to play as bad chess as I do?”
12. VRDK – A Research Prototype
• Building a compelling & engaging
Programmable Environment
• Innovative, very easy, flexible
Programming Environment for Robot
control applications
• Accessible to non technical audiences
(children, nurses, elderly, machine
operators)
• Enables a ‘Path’ from very simple
(beginner, child) to professional (using
Visual Studio)
Abstracting complexity on different levels
Source Code Visual
13. Domain Specific Language
Visual N#
Users can switch between
• Domain-specific both notations
graphical language
• Extension of VRDK
• Easy to design
Code Translator
N#
• Domain-specific
textual language
• Easy to read and write
C# / VB.NET
• General purpose
programming language
• Don’t write code
anymore
14. N# - A Textual Notation for Visual N#
ambient MyAmbient @ Person
where filter ($1.Company == „Microsoft Research“),
filter($1.Location == „Cambridge"),
filter($1.SecurityLevel > 2) {
discover Lights @ Light
where distance(a),
filter($1.Color == „green");
process OnLampAdd @ l = Lights.Added {
l.On();
}
process OnLampRemove @ l = Lights.Removed {
l.Off();
}
a = 100;
}
15. AI
• A lot of the AI will stay in its virtual world
• Only limited connections to the real world
• Responsibility
16. The Microsoft Robotics Studio – Tools No Rules*
A lightweight concurrency and services oriented runtime
• Handling of sensory input and controlling actuators
• Based on synchronous message passing
• Decentralised System Services (DSS) facilitating tasks and
basic services such as debugging, logging, monitoring,
security, discovery and data persistence
Authoring/development tools
• Visual programming editor
• Simulation
• Message debugging
Technology libraries and basic algorithms
• Code samples and documentation
* AI2005
17. Runtime Environment
An application is a composition of loosely-coupled services concurrently executing across
scopes
• Interactions described using service contacts
• Components are networked
• Provides isolation between components
> Reliability – ability to restart independently, replaceable/updatable
> Parallelism
y
dar
oun
UI
B
ion
Main Port
ic at
A ppl Main Port
Service
Private Port
Code
State Main Port Service
Main Port
Code
Main Port
Private Port State
Private Port
Service
Service Code Service
Code State Code
State State
H/W H/W
* Example: Model car + sensors
23. Outlook
• VRDK
> Research Prototype
> Proof of Concept
• Microsoft Robotics Studio
> Available as CTP (November CTP)
> Improved Visualization
> Package based Deployment
> Wrap up for final version end of Dec 2006
> CCR / DSS maybe available as separate DL
> http://msdn.microsoft.com/robotics/
• N#
> Ongoing research
> Publications etc.
> Visual Studio integration
> http://research.microsoft.com/ero/
Discuss: What do you see? My Answer: The opportunity for 50,000 robots within the next few years/decades Announcement of Korean Government -> at least on robot per home within the next years (maybe 10 years) Already test area with 10,000 households to be populated with robots -> Question: Is it already I,Robot like? Japanese/Asian are more willing to adapt
Embedded in everyday equipment: PDA, Speech Recognition, addressed in research, see N# Potential: we will see “the” standard slide later on Limitations : I will talk about this later Latest development: Here we go – that’s the reason I am here Public concerns: somethin about MS Research and the ERO Mission
Two definitions from Wikipedia and Encarta, I liked especially the one of the traffic light in south Africa However address they address the mechanical aspects Robot from the polish language, introduced in 1930s by Issac assimov in one of his early novels – and stands for workers – there is some responsibility
Our one, clear definition. As you can see it is simple – but there is not a lot of intelligence. Actually also a piece of software can
Less work at home – service in the public – sound to me like ROBOT by its origin definition - worker
Increasing software challenges, but also increasing responsibilities, 24h assistant, companion, pro-active robots
Where and why does Microsoft as a company fit in there?
Yellow: re-invent the slavery
The Visual Robotik Development Kit is a first approach in building an unique visual programming environment. By abstracting from underlying source code, the VRDK enables non technical audience or groups of persons nor familiar with this certain domain of technology to access and program its functionality. Thereby the VRDK allows abstracting on different levels. Abstract models can be used as well as a in-depth look into source code is provided corresponding to the audience, from beginners up to experts.
TBD
TBD
TBD
Tools – no rules This Microsoft thing is just sitting there, without the manufactuere doing anything, nothing happens --- Improved CCR and DSS Runtime We’ve made some significant improvements that has doubled message throughput within node (between services) and between nodes. XML footprint has been reduced by half. Peak message throughput on multiprocessor machines is now close to 90,000 SOAP messages per second, between services on the same node, and 2,500 messages between nodes (using TCP or HTTP, full serialization). A scalable, extensible runtime architecture that can span a wide variety of hardware and devices. The programming interface can be used to address robots using 8-bit or 16-bit processors as well as 32-bit systems with multi-core processors and devices from simple touch sensors to laser distance finding devices. A set of useful tools that make programming and debugging robot applications scenarios easier. These include a high quality visual simulation environment that uses for software physics supplied by the Ageia Technologies PhysX engine. A set of useful technology libraries services samples to help developers get started with writing robot applications.